Control Server for Dynamic eSIM Data Volume Distribution
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Solution Overview
Problem
Existing systems lack an efficient method to manage and distribute data volumes among electronic subscriber identification modules (eSIMs) installed in various communication devices, particularly in IoT contexts, where data usage is often defined by contractual agreements and can be unevenly allocated.
Innovation Solution
A control server dynamically distributes a data volume among a group of eSIMs based on service quality requirements, usage history, and distribution keys, allowing for provisional or static allocation of partial data volumes to each module, ensuring fair and optimized bandwidth utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single data volume is assigned to a group of eSIMs without distribution, then the system is simple to manage, but the data usage becomes inefficient and unfair among different eSIMs
Solution Approach 1:
The patent segments the total data volume assigned to a group of eSIMs into individual partial data volumes for each eSIM. The control server divides the group data volume among multiple eSIMs based on distribution rules, ensuring each eSIM receives an appropriate share. This segmentation resolves the contradiction by improving data usage efficiency through individualized allocation while maintaining manageable system complexity through automated server-based distribution.
Solution Approach 2:
The control server acts as an intermediary between the data volume management system and individual eSIMs. It receives the total data volume assignment for a group, processes distribution rules, and allocates partial data volumes to each eSIM. This intermediary approach improves efficiency by enabling fair distribution while keeping the overall system simple, as the complexity of distribution logic is centralized in the server rather than distributed across multiple components.
2Adaptability or versatility
If data volume is statically allocated to each eSIM, then the system is simple and stable, but it cannot adapt to changing service quality requirements and usage patterns
Solution Approach 1:
The patent implements dynamic data volume distribution where the control server continuously monitors service quality requirements and usage patterns of eSIMs, adjusting partial data volume allocations in real-time. Instead of static assignments, the system adapts distribution based on current conditions, allowing eSIMs with higher service quality requirements or greater usage needs to receive more data volume. This dynamic approach resolves the contradiction by enabling adaptability while managing complexity through centralized automated control.
Solution Approach 2:
The system incorporates feedback mechanisms where the control server monitors data consumption patterns, service quality metrics, and usage statistics of each eSIM. Based on this feedback, the server adjusts the distribution of partial data volumes to optimize service quality and fairness. This feedback-driven approach enables the system to adapt to changing requirements dynamically, resolving the contradiction between adaptability and complexity by using automated feedback loops rather than manual reconfiguration.
3Reliability
If data volume is distributed dynamically based on usage patterns, then fairness and optimization are improved, but the computational requirements and system complexity increase
Solution Approach 1:
The control server implements self-service mechanisms where eSIMs automatically report their usage patterns and service quality requirements to the server. The server then autonomously processes this information and adjusts data volume allocations without requiring manual intervention or complex external coordination. This self-service approach improves fairness through automated, consistent application of distribution rules while limiting complexity growth by avoiding the need for complex human-in-the-loop systems or multiple coordinating components.
4Ease of operation
If partial data volumes are assigned to individual eSIMs, then data usage control and fairness are improved, but the management overhead and system complexity increase
Solution Approach 1:
The control server is designed as a universal platform that handles multiple functions: receiving group data volume assignments, monitoring usage patterns across all eSIMs, applying distribution rules, allocating partial data volumes, and adjusting allocations dynamically. This multi-functional approach improves data volume control precision by centralizing all management operations in a single system, while preventing management complexity from escalating by consolidating rather than distributing management functions across multiple separate systems.
Data Source
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AI summary
The present invention relates to a control server (100) in a communication network, wherein the control server is provided for distributing a data volume assigned to a group of electronic subscriber identification modules, wherein the group of electronic subscriber identification modules comprises a first subscriber identification module (101) and a second subscriber identification module (102), with: a communication interface (103) for receiving a first identification of the first subscriber identification module (101) and/or a second identification of the second subscriber identification module (102); and a processor (105) configured to assign a first partial data volume of the data volume to the first electronic subscriber identification module (101) and/or a second partial data volume of the data volume to the second electronic subscriber identification module (102) according to an electronic distribution rule.